How to Build Resilient AI Agents: Stop Flaky LLM Calls from Crashing Your App 🛡️

Building autonomous agents with LLMs is exciting, but let's be honest: external APIs are unpredictable. You've probably seen your agentic workflow crash because of a random TimeoutError, a ConnectionError, or the dreaded Rate Limit. In production, "trying again manually" isn't an option. Last night, I built and released Veridian Guard — a lightweight, zero-dependency safety layer designed specifically to handle these failures gracefully. The Problem: Flaky APIs & Bloated Code Traditionally, you'd wrap every call in a try-except block with a while loop for retries. It works, but it makes your code messy and hard to maintain — especially when dealing with complex asynchronous agent frameworks like LangChain or CrewAI. The Solution: Veridian Guard 🌿 Veridian Guard provides a robust @guard decorator that manages retries, delays, and fallbacks with just one line of code. 🚀 Quick Start bash pip install veridian-guard Wrap any flaky function, and it's protected: from veridian.guard impo